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Design Sensitivity
Statistical Power for Experimental Research
- Mark W. Lipsey - Vanderbilt University, USA
Other Titles in:
Meta-Analysis | Quantitative/Statistical Research (General) | Social Research Methods
Meta-Analysis | Quantitative/Statistical Research (General) | Social Research Methods
February 1990 | 208 pages | SAGE Publications, Inc
All researchers face an important challenge - designing research that will have sufficient sensitivity to detect those effects it purports to investigate. Sample size, validity and sensitivity, experimental error, subject variability and the type of statistical analysis all influence the sensitivity of a research design. Through careful explanations and selection of examples, Lipsey examines the concept of design sensitivity and explains statistical power and the elements that determine it.
PART ONE: STATISTICAL POWER IN TREATMENT EFFECTIVENESS RESEARCH
Treatment Effectiveness Research and Design Sensitivity
The Statistical Power Framework
Effect Size
How to Estimate Statistical Power
PART TWO: USEFUL APPROACHES AND TECHNIQUES
Dependent Measures
Design, Sample Size, and Alpha
The Independent Variable and the Role of Theory
Putting It All Together
"A very useful book to social science researchers and a valuable reference for practicing statisticians. I found many good suggestions in it. This book is a thought-provoking essay on statistical power analysis. It is worthwhile reading."
Journal of the American Statistical Association`